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Volume 37, Issue 1 (2022)
GeoRes 2022, 37(1): 111-125 |
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Received: 2021/05/8 | Accepted: 2021/11/16 | Published: 2022/01/22
Received: 2021/05/8 | Accepted: 2021/11/16 | Published: 2022/01/22
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Mahmoudzadeh H, Aghayari Hir T, Hatami D. Study and Analysis of the Elderly Population of the Iran. GeoRes 2022; 37 (1) :111-125
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1- Department of Geography and Urban Planning, Faculty of Planning & Environmental Sciences, University of Tabriz, Tabriz, Iran
2- Department of Social Sciences, Faculty of Law and Social Sciences, University of Tabriz, Tabriz, Iran
2- Department of Social Sciences, Faculty of Law and Social Sciences, University of Tabriz, Tabriz, Iran
Abstract (2365 Views)
Abstract
Aims: The purpose of this study is to investigate and analyze the aging status of the population (65 years and older).
Methodology: The research method of the present study is a combination of descriptive-analytical, documentary and secondary analysis methods and the research is applied based on the purpose. To analyze and evaluate the demographic indicators of the elderly in the country, the data and census data of 2016 have been used. In order to study the spatial characteristics of the elderly population, the aging ratio, total dependency ratio, elderly dependency ratio, elderly sexual status, aging coefficient or aging index and the three-level UN index have been used. Arc GIS 10.8 software was used for spatial analysis of the mentioned indicators.
Findings: The results show that the average population of 65 years and older in the whole country for 2016 is equal to 6.1%. Gilan province with 8.9% of the population aged 65 and over is the oldest province and Sistan and Baluchestan province with 3.2% is the youngest province. According to the UN three-level index, the provinces of Sistan and Baluchestan and Hormozgan are young, Isfahan, Tehran, Mazandaran, Gilan and East Azarbaijan are old and the rest of the provinces are adult. Gilan province with 36.43 and 12.14, respectively, has the lowest dependence rate and the highest dependency ratio of the elderly. 22.58% of the provinces of the country are facing the aging of men and 77.42% are facing the aging of women.
Conclusion: The results of this study showed that the population of Iran has passed its youth and is entering middle age and old age with an upward trend. In general, the situation and spatial distribution of aging in the provinces of the country is such that the most problems are in the northern provinces and in the next stage in the central provinces. Therefore, government plans to solve this problem in the short, medium and long term should be with the priority of the northern provinces and then the central provinces and in later stages the border provinces are younger. This process is faster in some parts of the country and slower in others. The upward trend of the Iranian population aging index indicates that the period of aging crisis in the Iranian population is not far from expectation and it should be considered the most important challenge in the development planning system and affecting all aspects.
Aims: The purpose of this study is to investigate and analyze the aging status of the population (65 years and older).
Methodology: The research method of the present study is a combination of descriptive-analytical, documentary and secondary analysis methods and the research is applied based on the purpose. To analyze and evaluate the demographic indicators of the elderly in the country, the data and census data of 2016 have been used. In order to study the spatial characteristics of the elderly population, the aging ratio, total dependency ratio, elderly dependency ratio, elderly sexual status, aging coefficient or aging index and the three-level UN index have been used. Arc GIS 10.8 software was used for spatial analysis of the mentioned indicators.
Findings: The results show that the average population of 65 years and older in the whole country for 2016 is equal to 6.1%. Gilan province with 8.9% of the population aged 65 and over is the oldest province and Sistan and Baluchestan province with 3.2% is the youngest province. According to the UN three-level index, the provinces of Sistan and Baluchestan and Hormozgan are young, Isfahan, Tehran, Mazandaran, Gilan and East Azarbaijan are old and the rest of the provinces are adult. Gilan province with 36.43 and 12.14, respectively, has the lowest dependence rate and the highest dependency ratio of the elderly. 22.58% of the provinces of the country are facing the aging of men and 77.42% are facing the aging of women.
Conclusion: The results of this study showed that the population of Iran has passed its youth and is entering middle age and old age with an upward trend. In general, the situation and spatial distribution of aging in the provinces of the country is such that the most problems are in the northern provinces and in the next stage in the central provinces. Therefore, government plans to solve this problem in the short, medium and long term should be with the priority of the northern provinces and then the central provinces and in later stages the border provinces are younger. This process is faster in some parts of the country and slower in others. The upward trend of the Iranian population aging index indicates that the period of aging crisis in the Iranian population is not far from expectation and it should be considered the most important challenge in the development planning system and affecting all aspects.
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References
1. amar.org.ir [Internet]. Tehran: Statistics Center of Iran; 2020 [Cited 2020 Apr 21]. Available from: https://www.amar.org.ir. [Persian] [Link]
2. Bai C, Lei X (2020). New trends in population aging and challenges for China's sustainable development. China Economic Journal. 13(1):3-23. [Link] [DOI:10.1080/17538963.2019.1700608]
3. Edmonston B (2007). Population dynamics in Germany: the role of immigration and population momentum. Population Research and Policy Review. 25(5-6):513-545. [Link] [DOI:10.1007/s11113-006-9011-8]
4. Smith BW, Hiltner J (1975). Intraurban location of the elderly. Journal of Gerontology. 30(4):473-478. [Link] [DOI:10.1093/geronj/30.4.473]
5. Flynn CB (1980). General versus aged interstate migration, 1965-1970. Research on Aging. 2(2):165-176. [Link] [DOI:10.1177/016402758022006]
6. Zhou C, Tong X, Wang J, LAI S (2018). Spatial differentiation and the formation mechanism of population aging in Guangzhou in 2000-2010. Geographical Research. 37(1):103-118. [Link]
7. Warner DF, Adams SA (2016). Physical disability and increased loneliness among married older adults. Society and Mental Health. 6(2):106-128. [Link] [DOI:10.1177/2156869315616257]
8. Blazer DG (1982). Social support and mortality in an elderly community population. American Journal of Epidemiology. 115(5):684-694. [Link] [DOI:10.1093/oxfordjournals.aje.a113351]
9. Cowgill DO (1978). Residential segregation by age in American metropolitan areas. Journal of Gerontology. 33(3):446-453. [Link] [DOI:10.1093/geronj/33.3.446]
10. Guan D, Lei L, Han Z (2020). Spatial-temporal variation of population aging: a case study of China's liaoning province. Complexity. 2020:5436061. [Link] [DOI:10.1155/2020/5436061]
11. Steinfeld E, Golant SM (1985). A place to grow old: the meaning of environment in old age. Economic Geography. 61(4):381-384. [Link] [DOI:10.2307/144059]
12. Faraji Sabkbar HA, Mahmoudi Chenari H, Bagheri M, Khodadad M (2019). Analysis of spatial distribution of Iran' S population aging. MAJLIS & RAHBORD. 25(96):265-296. [Persian] [Link]
13. Bijak J, Kupiszewska D, Kupiszewski M (2008). Replacement migration revisited: simulations of the effects of selected population and labor market strategies for the aging Europe, 2002-2052. Population Research and Policy Review. 27(3):321-342. [Link] [DOI:10.1007/s11113-007-9065-2]
14. Liu JJ, Ding ZW, Zhang GS (2016). Multi-scale spatiotemporal pattern of aging population in central plains region. Economic Geography. 36(4):29-37. [Link]
15. Li JM (2016). Space-time variation of Chinese aging based on bayesian hierarchy spatio-temporal model. Statistical Research. 33(8):89-94. [Link]
16. Yu J, Mark WR, Cheng Y (2015). Aging at home and the intent to relocate in Beijing. Progress in Geography. 34(12):1577-1585. [Link] [DOI:10.18306/dlkxjz.2015.12.006]
17. Zhang KZ, Chen N (2014). Characteristics of spatial-temporal evolution in population aging and driving mechanism at county level in Fujian Province during 1990-2010. Progress in Geography. 33(5):605-615. [Link]
18. Wang LC, Wu RW, Li W (2017). Spatial-temporal patterns of population aging on China's urban agglomerations. Acta Geographica Sinica. 72(6):1001-1016. [Link]
19. Lin L, Ma F (2007). Spatial distribution and trends of the aging of population in Guangzhou. Geographical Research. 5(5):1043-1054. [Link]
20. Yang L, Li H, Li Y, Wang W, Tan J (2010). Progress of medical geography and Environmental health studies. Progress in Geography. 29(1):31-44. [Link]
21. Shan L, Ding L (2013). Comparative research on the feature of spatial distribution of aging population between China and Japan. Chinese Journal of Population Science. 7(4):89-96. [Link]
22. Horner MW, Duncan MD, Wood BS, Valdez-Torres Y, Stansbury C (2015). Do aging populations have differential accessibility to activities? Analyzing the spatial structure of social, professional, and business opportunities. Travel Behaviour and Society. 2(3):182-191. [Link] [DOI:10.1016/j.tbs.2015.03.002]
23. Mirfallah Nasiri SN (2007). Demographic Characteristics of Population Aging and Related Indicators in Iran. Selection of Statistical Materials. 18(2). [Persian] [Link]
24. Krause N (1987). Life stress, social support, and self-esteem in an elderly population. Psychology and Aging. 2(4):349-356. [Link] [DOI:10.1037/0882-7974.2.4.349]
25. Walford NS, Kurek S (2008). A comparative analysis of population ageing in urban and rural areas of England and wales, and Poland over the last three census intervals. Population, Space and Place. 14(5):365-386. [Link] [DOI:10.1002/psp.488]
26. Valdez-Torres N, Waite L (2019). Disability, psychological well-being, and social interaction in later life in China. Research on Aging. 41(4):362-389. [Link] [DOI:10.1177/0164027518824049]
27. Naib Habib S (2012). A Study of the trends of aging indices in Iran and its comparison with selected countries in Asia-Pacific [dissertation]. Tehran: Islamic Azad University, Central Tehran Branch. [Persian] [Link]
28. Nemati D, Agha Bakhshi H (2013). Tehran, an elderly-friendly city, the first steps in the realization of the world's first aging capital (on the occasion of the year of aging). Social Research Quarterly. 6. [Persian] [Link]
29. Nikpour A, Hassan Alizadeh M (2020). Spatial analysis of aging indices in urban and rural areas of Iran. Journal of Human Geography Research. 52(3). [Persian] [Link]
30. Lee R, Mason A. (2010). Some macroeconomic aspects of global population aging. Demography. 47(1):S151-S172. [Link] [DOI:10.1353/dem.2010.0002]
31. Golant SM. (2016). The origins, programs, and benefits of agefriendly communities. Gerontologist. 56(3):597-598. [Link] [DOI:10.1093/geront/gnw071]
32. Rosenbloom S (2001). Sustainability and automobility among the elderly: an international assessment. Transportation. 28(4):375-408. [Link] [DOI:10.1023/A:1011802707259]
33. Seifisarai R (2018). Mental health and its relationship with the ability of the elderly referring to health centers in Tabriz in 1397 [dissertation]. Tabriz: Tabriz University of Medical Sciences. [Persian] [Link]
34. Shams Ghahfarkhi M (2019). The only biology of the elderly in Iran in terms of age and gender differences: prevalence and related factors. PAYESH. 18(4). [Persian] [Link]
35. Sobczak E, Bartniczak B, Raszkowski A (2020). Aging society and the selected aspects of environmental threats: evidence from Poland. Sustainability. 12(11):4648. [Link] [DOI:10.3390/su12114648]
36. Schwanen T, P'aez A (2010). The mobility of older people-an introduction. Journal of Transport Geography. 18(5):591-595. [Link] [DOI:10.1016/j.jtrangeo.2010.06.001]
37. Yuan X, Zhao Y, Zhang X, Zhang X (2017). Spatial variation of population aging and associated factors in Jiangsu province. Scientia Geographica Sinica. 37(12):1859-1866. [Link]
38. Cheng Y, Gao S, Li S, Zhang Y, Rosenberg M (2019). Understanding the spatial disparities and vulnerability of population aging in China. Asia & the Pacific Policy Studies. 6(1):73-89. [Link] [DOI:10.1002/app5.267]
39. Li ZB, Sun TS, Zhang JF (2015). Regional types' division of population aging and analysis on population aging regional evolution: based on China, America, Japan and R O Korea. Scientia Geographica Sinica. 35(7):822-830. [Link]